In customer communication management, companies are regularly faced with the challenge of having to produce and send large quantities of transaction documents within a very short period of time. This is especially true for peaks such as year-end business. This often involves batch jobs with millions of pages, which is why very good CCM software performance is crucial for fast and smooth output to customers.
The performance depends on
As hardware resources are now inexpensive thanks to “pay per use” and can be procured dynamically without provisioning times, the ability to use available hardware resources flexibly and spontaneously is a fundamental requirement for modern software systems.

Scaling in the cloud via a container architecture
The modern container architecture of Serie M/ enables any dynamic scaling via the hardware in the cloud. Additional computing power is automatically switched on when it is needed. This means that the maximum computing power, which may only be required once or twice a year, does not have to be permanently available.

Parallel processing threads with prioritization
With the M/TEXT batch interface, it is possible to define parallel processing threads with different prioritization. This allows the performance to be individually adapted and optimized to the framework conditions of the respective application — and thus use the hardware even more efficiently.
Test case: performance test on AWS
Formatting
Creating documents from templates and XML data and sending them to our output management system M/OMS
Rendering
M/OMS batch run with rendering to PDF and AFP output formats
Test document
A mixture of 1.5 pages and 9 pages
Formatting
10 million pages/hour
Rendering
15 million pages/hour
Case study: Raiffeisen Switzerland
A mandatory application scenario for financial service providers is high-volume, time- and performance-critical year-end processing. For our customer Raiffeisen Switzerland, the task was to provide an IT infrastructure in container operation that can process and output the maximum document volume of 27 million documents once a year in just 48 hours.
Architecture
Open Shift container architecture
Serie M/
8 Pods (8 CPU Cores, 8-12 GB RAM)
OMS adapter
Loader
10 Pods (2 CPU Cores, 2 GB RAM)
The OMS adapter is an upstream module between the delivery system and the Serie M/, which prepares the data for the Serie M/ and ensures optimum parallelization with its 10 pods.
Performance
110 documents or 220 pages per second
Output to various channels
13.2 million documents to the digital archive, 5.6 million documents to the physical mailroom and 8.2 million documents to digital e-banking.
Related topics
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